The paper presents the design of discrete-time quasi-sliding mode voltage controller for DC-DC buck converter. The control algorithm is realized by measuring only sensed output voltage. No current measurements and time derivatives of output voltage are necessary. The proposed quasi-sliding mode controller provides stable output voltage, exhibiting robustness to parameter and load variations.

Two problems: Parameter uncertainty and chattering effect present in Control signal are have a great deal in performance of system with the designed controllers. This paper presents Fuzzy Sliding Mode Controller (FSMC) for Multi Area Load Frequency Control problem or Automatic Generation Control (AGC) in a De-regulated environment. The first problem is addressed by designing a sliding mode cont...

A discrete-time adaptive nonlinear control procedure is developed based on immersion and invariance control, and using back-stepping for the regulation of slider-crank system. A convenient parametric formulation of the system dynamics is established. A novel parameter estimator design is presented, and the back-stepping controller is constructed considering the certainty equivalence principle.

The purpose of the sliding mode controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. This paper deals with introducing a new technique s...

A high-order sliding mode control algorithm is proposed for nonlinear uncertain systems based on geometric homogeneity and fast terminal sliding mode. Homogeneity approach used to stabilize the nominal system, and fast terminal sliding mode used to reject the uncertainty, are applied to constructing the controller. High-order sliding mode is established by the proposed algorithm, the boundary o...

A novel sliding mode controller based on Takagi-Sugeno fuzzy model is designed for a class of nonlinear systems to tackle the nonlinear control problems with modelling uncertainties, time varying parameter fluctuations and external disturbances. A numerical example is simulated to verify the performances of the proposed control strategy, and the simulation results show that the controller desig...

A supervisory fuzzy neural network (FNN) control system is designed to track periodic reference inputs in this study. The control system is composed of a permanent magnet (PM) synchronous servo motor drive with a supervisory FNN position controller. The supervisory FNN controller comprises a supervisory controller, which is designed to stabilize the system states around a defined bound region a...

This Paper shows the synthesis of Sliding Mode Controller using model predictive structure of the process. The Smith predictor architecture is combined with the Sliding mode control theory. Two different linear models, with deadtime, are simulated and the performance of the controller is evaluated.

This paper presents the design of a DC-AC power converter controller that bears the same benefits of a sliding mode controller but with the advantage of a fixedfrequency control signal. The controller is based on the imposition of zero averaged value of the sliding surface in each switching cycle. A keypoint of the presented controller is the calculation of the sliding surface’s derivative whic...

This paper presents the design and analysis of a high performance robust controller for the Stewart platform manipulator. The controller is a variable structure controller that uses a linear sliding surface which is designed to drive both tracking and synchronization errors to zero. In the controller the model based equivalent control part of the sliding mode controller is computed in task spac...